India's Leading AI & Machine Learning Institutes, 2023

1. India Vol. 10 | Issue 02 | 2023 Vol. 10 | Issue 02 | 2023 Vol. 10 | Issue 02 | 2023 www.theknowledgereview.in Page No. 24 Unleashing the Power of AI How Machine Learning is Revolu?onizing Industries International Institute of Information Technology Bangalore Pushing the Boundaries of AI Research and Educa?on Page No. 12 AI Demys?fied A Beginner's Guide to Machine Learning India's Leading AI & Machine Learning Ins?tutes, 2023

4. Pioneering the Path to Progress I n the era of digital transformation, the pursuit of knowledge has never been more imperative. The corridors of academia, particularly those resonating with the hum of Artificial Intelligence and Machine Learning, are at the forefront of this knowledge revolution. As we stand on the precipice of the future, these institutes stand as beacons of enlightenment, nurturing the minds that will shape tomorrow's world. In its latest edition, "India's Leading AI & Machine Learning Institutes, 2023,"The Knowledge Review embarks on a journey to explore the foundations of innovation, unravel the intricacies of machine intelligence, and meet the visionaries who lead the way.

5. Artificial Intelligence and Machine Learning are no longer futuristic concepts but integral parts of our daily lives. From predictive algorithms to self-driving cars, from healthcare diagnostics to personalized entertainment recommendations, AI and Machine Learning have integrated themselves seamlessly into our existence. They are catalysts of progress, revolutionizing industries, enhancing efficiency, and pushing the boundaries of what's possible. This edition serves as a tribute to the institutions that foster the brightest minds in this field. These institutes have consistently upheld the torch of knowledge, equipping students with the skills and insights to harness the potential of AI and ML. They are the nurturing grounds for those who dream of machines with human-like intelligence and algorithms that can decipher the complexities of our world. We invite you to delve into the depths of this edition and explore the possibilities. Join us on this enlightening voyage through the world of AI and Machine Learning education, and be inspired by the passion, dedication, and innovation that define these institutes. Have a delightful read! Gopal Ingole - Gopal Ingole Editor’s Note

6. Profiles Indian Institute of Science Pioneering the Path of Transformative Education 16 Thadomal Shahani Engineering College Shaping Ethical Leaders in AI and ML 20 The NorthCap University Ensuring a Comprehensive Educational Pathway for Aspiring Engineers 28 Articles AI Demysti?ed 12 A Beginner's Guide to Machine Learning Unleashing the Power of AI 24 How Machine Learning is Revolutionizing Industries

7. International Institute of 08 Information Technology Bangalore Pushing the Boundaries of AI Research and Educa?on Cover Story Contents

8. thisPublication Creators of October, 2023 Pooja Bansal Editor-in-Chief sales@theknowledgereview.in Riya Chatterjee Gopal Ingole, Ananya Mishra Managing Editor Assisting Editors theknowledgereview theknowledgerv Art & Design Head and Visualiser Co-designer Rahul Shinde Ankita Pandharpure We are also available on Swapnali Vasaikar Ashwini Pahurkar Sachin Bajad Princy Bodapati Asst. Vice President Marketing Manager Team Leader Sr. BDE The Knowledge Review Rajeshwari Avhad Renuka Kulkarni Ravindra Kadam Tanaji Fartade Technical Specialist Digital Marketing Manager SME-SMO Executive Circulation Manager Survey No.133/134, Brand Square, Office No. 512,Kunjir Chowk, Pimple Saudagar, Pune, Maharashtra 411027. Phone - India: +91 7410079881/ 82/83/ 84/ 85 Email: info@theknowledgereview.in For Subscription: theknowledgereview.in Copyright © 2023 Insights Success Media and Technology Pvt. Ltd., All rights reserved. The content and images used in this magazine should not be reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior permission from Insights success. Reprint rights remain solely with Insights Success Media and Technology Pvt. Ltd. The Knowledge Review is powered by Insights Success Media and Technology Pvt. Ltd.

9. URL Name of the Institute Description Indian Institute of Science is a prominent and forward-thinking institution, steadfastly committed to pioneering advancements and nurturing student excellence. Indian Institute of Science https://iisc.ac.in/ International Institute of Information Technology Bangalore was established to contribute to the IT world through education, research, entrepreneurship, and innovation. International Institute of Information Technology Bangalore https://www.iiitb.ac.in/ Thadomal Shahani Engineering College is committed to AI education and offers extensive programs for its students. Thadomal Shahani Engineering College https://tsec.edu/ The NorthCap University aims to be known globally for learning innovations academic excellence and strives to become the preferred destination for students. The NorthCap University https://www.ncuindia.edu/ Vellore Institute of Technology was established with the aim of providing quality higher education on par with international standards. Vellore Institute of Technology (VIT) https://vit.ac.in/

10. India's Leading AI & Machine Learning Institutes, 2023 T innovations that are transforming industries and societies worldwide. Behind these advancements are pioneering Institutes dedicated to pushing the boundaries of AI research and education. he realm of Artificial Intelligence (AI) and Machine Learning (ML) has rapidly expanded over the past few decades, giving rise to groundbreaking Pushing the Boundaries of AI Research and Educa?on The AI and ML landscape is ever-evolving, with Institutes around the world driving innovation and technological progress. These institutions, known for their research contributions, educational programs, and collaborations with industry partners, continue to shape the future of AI. As the field continues to expand and new breakthroughs emerge, staying updated with the latest developments from these leading Institutes remains crucial for anyone invested in the world of artificial intelligence and machine learning. International Institute of Information Technology- Bangalore was one of the first Institutes in India to acknowledge this rapid expansion. The Institute offers AI/ML as an “Area of Specialization” (among other specializations) to its iMTech and MTech students (in both ECE/CSE branches). This specialization requires the students to opt for a certain minimum number of elective courses from a set of bouquet courses offered by the faculty – such as “Topics in AGI,” “Reinforcement Learning,” “Visual Recognition,” “Advanced Visual October 2023 8

11. Cover Story Recognition and Rendering,” “Few-shot Learning,” “Self- supervised Learning,” “Spatial Computing,” “Cognitive Science and its BCI Applications” and pre-requisites such as “Maths for Machine Learning” and “Machine Learning.” Upgrading Essential Skills The Institute offers Continuing Professional Education (CPE) programmes for working executives. These progammes are mainly developed for professionals to upgrade their skills or acquire new skills. It offers two types of certificate programmes: shorter duration (about six months) and longer duration (11-12 months) in mainly four areas, namely: and Management. All the programmes are offered through the learning management system of preferred Technology Service Providers. The learners have the flexibility of learning from pre-recorded video lessons and also attend live online sessions conducted by IIIT-B faculty members.  • • • • Data Sciences Machine Learning/Artificial Intelligence Software Development Cyber Security Gearing Toward a Hands-On Approach The faculty at the Institute with specializations related to AI/ML come from a wide background, such as Affective Computing, Machine Vision, Spatial Computing, Natural Language Processing, Web-sciences, Automatic Speech Recognition, Theoretical Computer Science, Control Systems, Robotics, Reinforcement Learning, etc. The Institute is also in the process of offering a short-term programme in User Interface/ User Experience design and a longer-duration programme in Digital Product Engineering In addition to the regular curriculum designed around classroom instructional mode, the Institute actively encourages students to take Reading Electives (RE), Project Electives (PE), 20-credit research projects (20C), Final year Thesis, Internships at industry/corporate R&Ds, etc. These are geared towards a hands-on approach to problem-solving with real-world data for applications defined around research programs/projects of faculty and industry. All students have the option to work on cutting-edge projects in any of the Institute’s several AI/ML centers like MINRO, CIET, etc. The Institute has a multi-pronged/multi-faceted presence in AI/ML: for instance, it hosts several AI/ML-related Centres of Excellence and GoK-funded projects of large scales, such as MINRO (Machine Intelligence and Robotics), Data Lake, Sustainable Development Goals, Cognitive Computing, etc., which individually and together provide a large canvas for the faculty and students to define their problem spaces, have research funding, and foster inter- disciplinary collaborative work. We have an ac?ve engage- ment with students in the topics of NLP, Computer Vision, Robo?cs, hard-core Machine Learning topics, Automa?c Speech Recogni- ?on, Spa?al Compu?ng, Reinforcement Learning, etc. The Institute supports and encourages individual Faculty to have their own captive access to computing resources (GPU machines) in addition to providing common computing access to GPU servers from various projects currently funded in AI/ML topics (e.g., MINRO, Mphasis, www.theknowledgereview.in 9

12. OpenStream) as well as cloud computing facilities (e.g., A100 GPU servers on cloud) – accessible by undergraduate, graduate and research students for both course-related activities and research activities. Making the Curriculum Enriching The Institute’s curriculum and research are by nature interdisciplinary, and the courses offered reflect this – in the form of several courses taught jointly by multiple faculties and enrolled by students across disciplines (e.g., ECE/CSE in iMTech, MTech, etc.). This, in addition to most of the courses having significant hands-on components, fosters the students to work together in small groups for projects, be it classroom projects or RE/PE, 20 credits, or Research (MS/Ph.D.) projects. Alongside this, the fact that all courses have student TAs makes the curriculum enriching for the students via interaction and provides a collaborative learning environment. Interestingly, faculty members who are deep into AI/ML research are the ones who offer courses for students, too. In addi?on to the regular curriculum designed around class-room instruc?onal mode, we ac?vely encourage students to take Reading Elec?ves (RE), Project Elec?ves (PE), 20-credit research projects (20C), Final year Thesis, Internships at industry/corporate R&Ds, etc. Students carry out mandatory six-month internships, mostly in reputed industries. Several companies looking for data science and AIML profiles visit the Institute. Owing to the high demand for students from the Institute, the median salary of students is one of the highest in the country. A majority of the master’s students specialize in AI/ML. They get placed in deep tech product companies in certain sectors, such as BFSI. Maintaining Active Engagement The Institute has an active engagement with students in the topics of NLP, Computer Vision, Robotics, hard-core Machine Learning topics, Automatic Speech Recognition, Spatial Computing, Reinforcement Learning, etc. – in the form of these subjects being taught as classroom electives and also offered as reading/project-electives. 10

13. Cover Story Dr. Sunil Kumar Vuppala is the Director – Data Science Ericsson Global AI Accelerator (GAIA), Bangalore. He is featured as one of the top 10 data scientists in India for 2019 and Received the Top 40 Data Scientists under 40 in India (2019) award. The Institute provides free “online” access to all the leading journals and conference proceedings in the field of AI/ML via subscriptions (e.g., IEEE, ACM, Elsevier journals and NeurIPS, NIPS, ICCV, ECCV, AAAI conferences, to name a few), which helps the students and faculty to keep abreast in their curriculum contents and research directions. In addition, the Institute promotes student travel to conferences to publish/present their work at National/International conferences, which keeps the students well informed of current trends and practices in their areas of specialization. The Institute has highly productive interactions with various industry R&Ds (e.g., Mphasis, Accenture, Infosys, Samsung, Continental) and governmental funding agencies (e.g., DST, MeiTY, SERB, GoK), which provides a conducive learning environment for the students in the form of research funding, scholarships, exposure to state-of-the- art practices in R&D (e.g. students doing internships at industry R&Ds during their final iMTech/MTech terms). All the online programmes are offered through the learning management system of preferred Technology Service Providers. The learners have the flexibility of learning from pre- recorded video lessons and also a?end live online sessions conducted by IIIT-B faculty members. Honing Ideal Professionals Apart from its courses having significant hands-on components, which help the students to carry out several projects, all of its students undergo a semester of placement preparation. During this period, they undergo training to write impactful CVs and crack technical interviews. Several of its alumni volunteer to conduct mock interviews. The Institute also provides soft-skill training for students who are in need. Students are also given access to a large section of online courses. Primarily, the AI/ML “specialization” is open to all iMTech/MTech students in both branches (ECE/CSE) and MS/Ph.D. students with prerequisites depending on the individual courses and faculty offerings (RE/PE/20- credits/Research credits). Minimal prerequisites range from the basics of probability theory and linear algebra to specific computing languages and exposure to base electives such as Maths-for-ML and ML. 11

14. AI Demystified A Beginner's Guide to Machine Learning achine learning is crucial in M valuable insights from massive datasets, automate tasks, and make informed decisions. Understanding machine learning allows us to create predictive models, enhance technological personalization, optimize processes, and solve complex problems. It underpins advancements in various fields, from healthcare to finance and self-driving cars. today's data-driven world. It empowers us to extract In an increasingly competitive job market, proficiency in machine learning is a valuable skill, opening doors to exciting career opportunities. Learning machine learning equips individuals to harness the potential of data, driving innovation and progress in the digital age. October 2023 12

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16. In an age where technology advances astonishingly, Artificial intelligence (AI) has a subset called machine learning, which has gained popularity. Machine learning is not just for IT professionals; everyone interested in discovering its wonders can access it. In this article, we'll demystify machine learning and illuminating its practical applications. similar to training a puppy. An agent interacts with its environment and gains knowledge by being rewarded or penalised for activities. It learns over time which actions result in better rewards. Training autonomous systems, such as self-driving cars and gaming bots, uses this kind of learning. When a model is complex and fits the training data perfectly but fails to generalize to new, unseen data. Balancing act – bias is underfitting (oversimplified model), and variance is overfitting (too complex model). Starting the Learning Process Start with online courses and tutorials. Platforms like Coursera, edX, and Khan Academy offer great resources. Real-World Applications Machine learning is not just a theoretical concept. It's deeply ingrained in daily lives, often without us realizing it. Here are some real- world applications: Ÿ Think about Google Assistant, Alexa, or Siri. They comprehend inquiries and respond by utilizing machine learning and natural language processing. Ÿ Netflix, Amazon, and YouTube use machine learning to recommend movies, products, and videos based on past choices. Ÿ Machine learning helps diagnose diseases, predict patient outcomes, and even discover drugs. Ÿ In the financial world, it's used for fraud detection, stock market predictions, and algorithmic trading. Ÿ Self-driving cars use machine learning to perceive their environment and make driving decisions. Ÿ Face recognition on the smartphone or identifying objects in photos is all thanks to machine learning. Understanding Machine Learning Machine learning is fundamentally a sort of computer programming that enables computers to learn from data and enhance their performance on tasks without explicit programming. The computer is fed data and algorithms that help it recognise trends, forecast the future, and adjust over time rather than giving detailed instructions. Get hands dirty by working on simple machine learning projects. Libraries like TensorFlow and scikit-learn can be best friends. Follow blogs, books, and research papers in machine learning. Join online forums and groups to consult new people. others who share interests. Learning from Labelled Data Supervised learning is an essential part of machine learning. Think of it as a teacher directing a pupil. When supervised learning, the algorithm is fed labeled data or information previously matched with the correct responses. The methodology refines itself to create future predictions that are more accurate by comparing its predictions to the correct answers. Tasks like spam email detection, image recognition, and language translation use this kind of learning. Machine learning can be challenging, but remember, it's a learning process. Mistakes are a part of the journey. Conclusion Machine learning is not just a passing trend; it's the future. Machine learning applications will increase as technology develops further. The possibilities are endless, ranging from personalised healthcare to climate prediction, personalised education, and autonomous robots. Discovering Patterns Unsupervised learning is like a student exploring independently without a teacher's guidance. Here, the algorithm is given data without labeled outcomes. Its job is to find patterns or structures in the data. This is used in clustering tasks, like grouping similar products for recommendations or identifying anomalies in data. Learning, trying new things, and—most importantly—remaining curious are the keys to opening up these possibilities. Machine learning is a voyage that promises a world of discoveries, regardless of whether you are a student, professional, or just someone captivated by the field of AI. The future is ready to be influenced by curiosity and imagination, so embrace the challenge, take the first step, and explore the fascinating world of machine learning. Demystifying the Jargon Machine learning is packed with terminology that can be intimidating. Think of it as a recipe or set of instructions that the computer uses to complete a task. It's like the brain of a machine learning system, made up of algorithms and parameters. This is the phase where the model learns from data. These are the characteristics or attributes in the data that the model uses to make predictions. Learning Through Trial and Error Learning through reinforcement is October 2023 14

17. on words, for actions speak louder. When leaders model kind and compassionate behavior, it sets an example for others to follow. Empathy is not a weakness in leadership but rather a strength that can bring diverse communities together, inspire positive change, and lead to success in education. and success of the school. Conclusion To be an effective school leader, one must possess the quality of empathy, especially in the constantly evolving landscape of education. Empathy plays a crucial role in creating a safe, welcoming, and inclusive environment that supports the mental health and well-being of everyone. It builds strong relationships among the members of the school community and helps to resolve conflicts in a constructive and effective manner. When students and staff witness leaders practicing empathy, they are more likely to adopt these values and spread kindness throughout the school. Therefore, it is crucial for school leaders to prioritize empathy in their leadership style, as it can have a profound impact on the overall culture INSIGHTS SUCCESS MEDIA AND TECH PVT. LTD. Check should be drawn in favor of Empathy also fosters creativity, CORPORATE OFFICE THE KNOWLEDGE REVIEW THE KNOWLEDGE REVIEW Survey No.133/134, Brand Square, Office No. 512, Kunjir Chowk, Pimple Saudagar, Pune, Maharashtra 411027 Phone - India: +91 7410079881/ 82/ 83/ 84/ 85 Email: info@theknowledgereview.in For Subscription: theknowledgereview.in Visit once to know more Subscribe to Success www.theknowledgereview.in 15

18. Indian Institute of Science Pioneering the Path of Transformative Education I technology of artificial intelligence (AI) and machine learning (ML). In this arena, the Indian Institute of Science (IISc), a venerable institution established in 1909 and nestled in the vibrant city of Bengaluru, emerges as a pinnacle of success. With visionary professors Chiranjib like Bhattacharyya and Radhakrishnan at the helm, and several others performing cutting-edge research in the domain, IISc continues to be a trailblazer, guiding students toward a future where they are not just industry-ready but poised to shape the very industries they enter. These distinguished scholars have played pivotal roles in shaping the institution's AI and ML landscape. n the dynamic plethora of global industries, the future is undeniably shaped by the transformative The Institute's collaborative atmosphere extends beyond its hallowed halls, creating vital connections with industry leaders and organizations. These collaborations serve as fertile grounds for groundbreaking research initiatives that push the boundaries of what AI and ML can achieve. By actively engaging in research projects that hold real-world significance, students at this magnificent institution gain invaluable practical experience that prepares them to excel in the industry. In the global pursuit of mastering AI and ML IISc rises as an institution of , unparalleled distinction. In this rapidly evolving field, IISc is known for innovation and excellence. Impeccable AI and ML Programs At IISc, the knowledge of AI and ML is imparted to the students through a range of top programs and courses designed to provide a comprehensive understanding of this field. The Institute's Division of Electrical, Electronics, and Computer Sciences Venkatesh Babu IISc has emerged as a prominent and forward-thinking institution, steadfastly committed to pioneering advancements, nurturing student excellence, and forging impactful industry collaborations. With its rich legacy spanning over a century, IISc has consistently demonstrated dedication to the advancement of AI and ML. This commitment is evidenced through its leading-edge programs that fill students with the knowledge and skills essential for mastering the technologies that will define the industries of tomorrow. October 2023 16

19. India's Leading AI & Machine Learning Institutes, 2023 (EECS) and the Division of Interdisciplinary Sciences (IDS) collectively house over 40 faculty members who are engaged in pioneering research in AI. (CSA), Computational and Data Sciences (CDS), Electrical Engineering (EE), and Electrical Communication Engineering (ECE) integrate AI components into their curriculum, ensuring a strong overlap with this burgeoning field. One of the notable programs introduced by the institution is the two- year MTech (AI) program, which dives deep into the foundations and advanced technologies of AI. Furthermore, various MTech programs offered by departments such as Computer Science and Automation To cater to early-career professionals seeking to upskill in AI, IISc has also introduced an MTech (Online; AI) program, offering flexible learning options. Our Institute has collaborations with leading companies of both Indian and non-Indian origin. www.theknowledgereview.in 17

20. All IISc faculty members are PhD holders from leading universities across the globe and India. Chiranjib Bhattacharyya Professor, Indian Institute of Science Chiranjib Bhattacharyya Venkatesh Babu Radhakrishnan Professor, Indian Institute of Science Venkatesh Babu Radhakrishnan The Institute has recognized the importance of instilling AI and ML concepts at the undergraduate level and has recently launched a BTech (Mathematics and Computing) program. This program equips undergraduates with a solid foundation in AI and data science, setting the stage for future AI practitioners. and industry, IISc encourages faculty members to explore collaboration opportunities with leading companies. These collaborations often lead to research projects that provide students with practical experience and contribute to their thesis work. Faculty members also serve as consultants to various industries and may undertake sabbaticals in industry settings. Some notable research projects and initiatives include X-ray Setu. This innovative product uses transfer learning to analyse X-ray images of lungs and detect COVID-19 positivity with high accuracy. It provides predictions, localizes infected areas, and generates comprehensive reports within minutes. IISc has a faculty team with extensive qualifications and expertise in artificial intelligence and machine learning. These knowledgeable elite members hold Ph.D. degrees from renowned universities worldwide and regularly contribute to top-tier peer-reviewed publications in the field. They actively present their research findings in conferences like NeurIPS, ICML, ICLR, AAAI (Machine Learning), CVPR, ICCV, ECCV (Computer Vision), and ACL, EMNLP (Natural Language Processing). Established in 2022 with CSR funding from Kotak Mahindra Bank Limited, the Kotak IISc AI-ML Centre (KIAC) is developing into a state-of-the-art AI- ML Centre. It facilitates education, training, and skill development in AI- ML through expert talks, courses, workshops, financial support for students, and conference participation. Furthermore, the Institute actively promotes student internships in leading companies, providing hands-on experience and a chance to apply classroom knowledge in real-world scenarios. Pioneering Research Initiatives IISc's commitment to AI and ML research is evident through its pioneering initiatives. The AI & Robotics Technology Park (ARTPARK), an IISc-led initiative, focuses on translating AI research into practical applications. It also supports startups in the broader field of AI. IISc has invested in resources and infrastructure to support AI and ML research. Four large computing clusters in the departments under the Division of EECS are dedicated to AI and ML research. These have been supported through CSR grants from SBI Cards, Tata Elxsi, GroupM, and Timken. Industry Collaborations and Real- world Applications To span the chasm between academics October 2023 18

21. Additionally, the Institute maintains a well-stocked digital library accessible to all researchers. field. For instance, the MTech (Robotics and Autonomous Systems) program offered by the Robert Bosch Centre for Cyber-Physical Systems (RBCCPS) focuses on robotics and autonomous systems. Elective courses like 'Deep Learning for Natural Language Processing' and 'Deep Learning for Computer Vision' cater to specific interests within AI. curriculum remains aligned with the latest trends and developments in the field. Collaborative Learning Environment IISc fosters a collaborative and interactive learning environment to enrich AI and ML education. Faculty members have the freedom to design courses that encourage collaboration with industry. The Institute promotes faculty engagement with global peers through collaborative research agreements with renowned universities and institutions worldwide. Industry Collaborations and Support Services for Career Development IISc has established numerous industry partnerships to enhance students' practical exposure to AI and ML. These collaborations encompass research projects, internships, and extended engagements with leading companies, both Indian and international. To aid students in their career development and job placements in artificial intelligence and machine learning, the Institute provides comprehensive support services through its Office of Career Counselling and Placement (OCCAP). Notable Alumni Contributions IISc has a roster of notable alumni who have made significant contributions to the field of AI and ML. Rama Chellappa, Bloomberg Distinguished Professor at Johns Hopkins Whiting School of Engineering; Sethuraman Panchanathan, Director of the National Science Foundation; and Jay Yagnic, Vice President and Engineering Fellow at Google Research, are alumni who exemplify the impact of IISc graduates in shaping the AI scenario. Placement and Internship Opportunities IISc students benefit from a robust placement and internship support system coordinated by the Office of Career Counselling and Placement (OCCAP). Graduates find employment opportunities in a wide spectrum of companies, including startups, mid- sized enterprises, and multinational corporations. Shaping the Future of AI in India and Beyond Prospective students interested in AI and ML programs at IISc typically need to hold a bachelor's degree in engineering in the field of Electrical, Electronics, and Computer Sciences for postgraduate programs. Admission to the Ph.D. program typically requires a master's degree. Staying Updated with Advancements IISc remains at the forefront of AI and ML advancements by actively participating in research conferences and workshops. Faculty members and students regularly present their research findings at top-tier conferences, ensuring that the Specialized Tracks and Concentrations IISc offers specialized tracks and concentrations within the AI and ML The Indian Institute of Science (IISc) stands proudly and contributes effortlessly to the field of artificial intelligence and machine learning in India. Its commitment to leading-edge research, industry collaborations, specialized programs, and fostering a collaborative learning environment positions IISc as a leading institution that equips students with the knowledge and skills needed to make a meaningful impact in the world of AI and ML. With its rich legacy and forward-looking approach, IISc continues to shape the future of AI in India and beyond. www.theknowledgereview.in

22. THADOMAL SHAHANI Engineering College Shaping Ethical Leaders in AI and ML E moral study of cerebral concepts. Thadomal Shahani Engineering College, in Bandra West, Mumbai,is one of India's most prestigious engineering colleges. As Dr G. T. Thampi, the Principal of this institute, described, its comprehensive curriculum was designed to shape students into adept solution builders in electronics, programming, and mathematics and master the concepts of AI and Machine Learning. ngineering is not limited; it is beyond the study of forty-five subjects in eight semesters, a empower students to understand the inner workings of digital electronic systems and create hardware solutions for digital technologies. Additionally, students are introduced to Discrete Mathematics, Data Structures, Algorithm Analysis, Database Management, and Operating Systems, equipping them with tools to tackle complexity and understand the fundamentals of digital databases. Extensive laboratory work in JAVA and Python programming languages explores their possibilities. solution architects. These subjects encompass cutting-edge areas like Deep Learning, Big Data Analytics, Natural Language Processing, and AI for Healthcare. Additionally, they delve into User Experience Design with Virtual Reality, Blockchain Technologies, Game Theory for Data Science, Quantum Computing, and more. Two major projects serve as the pinnacle of their education, ensuring they are well-prepared to excel in various fields, including finance, banking, and social media analytics. In the first year, students are introduced to the fundamental pillars of basic electronics, programming, mathematics, and physics. This foundational year aims to provide them with a firm footing in mathematical formulations of physical systems and essential problem-solving through logical thinking. It lays the groundwork for electronics. In the third year, students face a diverse set of courses, including Computer Networks, Web Computing, Artificial Intelligence, Data Warehousing & Mining, and Statistics for Artificial Intelligence & Data Science. Soft skills are honed through courses like Business Communication and Ethics-II, with practical experience through data-related projects and labs. Staying at the Forefront Through Collaboration Dr. G. T. Thampi discussed the institution's proactive approach to AI education and skill development. Thadomal Shahani Engineering College is committed to AI education, which began in 2015 by offering extensive training programs to staff members with postgraduate In the second year, the curriculum deepens its focus on electronics with subjects like Digital Logic Circuits and Microprocessors. These courses By the final year students study a comprehensive set of subjects designed to transform them into proficient October 2023 20

23. We remain committed to initiating our gradu- ates to nascent and productive technolo- gies that are disrupting business processes and governance, which nudges citizens for behavioural change to create a carbon-neutral and equitable society for the sustainability of humanity in the face of the earth. qualifications in computer engineering and information technology. A significant number of these staff members were encouraged to pursue AI-related topics for their doctoral research, fostering expertise within the college. Engineering College promotes continuous learning by offering refresher courses and training programs for both students and faculty members. They also emphasize the importance of Massive Open Online Courses (MOOCs) to ensure that their educational community matches well with the recent developments in Artificial Intelligence. To stay in the avant-garde of AI advancements, the college actively collaborates with startup companies. Through these partnerships, they identify areas that require strengthening and work towards reducing skill gaps between academia and industry practices. Furthermore, Thadomal Shahani It shortens the gap between academic and industry perspectives to prepare students for the rapidly evolving field of AI. www.theknowledgereview.in 21

24. Projects and Initiatives related to AI and Machine Learning At Thadomal Shahani Engineering College, students at the graduate level engage in a wide-ranging spectrum of projects that harness the cutting-edge potential of artificial intelligence (AI). These projects span from healthcare, where reinforcement learning aids in synthetic dataset utilization, to the development of Large Language Models (LLMs) for Marathi language chatbots, and the creation of generative AI-driven Excel macros. Students delve into the realms of cybersecurity prediction, interactive art generation using GANs, and Fintech solutions. They also work on enhancing productivity in sectors like the automotive industry and sales and marketing through AI applications. At the Ph.D. level, the focus shifts to advanced research, including intelligent robotic process automation, CRM services powered by AI, air quality forecasting, and the optimization of 6G networks. These projects exemplify the college's commitment to pushing the boundaries of AI's transformative potential across various domains. Promoting Hands-On Experiences Thadomal Shahani Engineering College has invested significantly in its laboratory infrastructure, providing students with access to high- performance computing resources, including Mac and HP machines equipped with GPUs, as well as essential software tools like MATLAB and Python. The college focuses on practical learning, making mini projects and major projects compulsory components of the curriculum. Furthermore, it actively encourages graduating students to pursue internships in the field of Artificial Intelligence, enabling them to develop hands-on Dr G. T. Thampi Principal, Thadomal Shahani Engineering College October 2023 22

25. India's Leading AI & Machine Learning Institutes, 2023 competencies in various AI applications. The results are evident in the impressive placements achieved by students, with renowned companies like JP Morgan Chase & Co, Deutsche Bank, Oracle Financial Services Software, Marwardi Shares, TIAA India, and Deloitte USI & India offering competitive packages, underscoring the college's commitment to nurturing talent and making students industry ready. for the sustainable future of humanity on Earth. approaching challenges with a thoughtful architectural mindset. Empowering Student Engagement Thadomal Shahani Engineering College has forged valuable collaborations with magnificent companies like Futurepreneur Tech Pvt. Ltd, Salins Technologies Pvt. Ltd, and Quantiphi, illustrating its commitment to nurturing innovation and industry readiness. Through these partnerships, the institution has implemented a flexible academic framework that empowers students to actively engage in specialized training programs. These collaborative efforts and the cultivation of multifaceted skills underscore the college's dedication to preparing students who are not just academically accomplished but also equipped to thrive in the ever-evolving landscape of AI and ML, making a positive impact on the industry and society at large. Thadomal Shahani Engineering College remains committed to nurturing a generation of well-rounded, forward-thinking professionals. Thadomal Shahani Engineering College offers specialized tracks and concentrations within the dynamic field of AI and Machine Learning. These specialized tracks include natural language processing, computer vision, and robotics. Students are not only introduced to the intricacies of natural language processing and the design and implementation of chatbots (conversational AI) but are also immersed in computer vision and image processing. The college is also diligently cultivating competencies in Robotic Process Automation, with a focus on creating efficiencies that contribute to environmentally sustainable human activities. Diverse Learning Journey Thadomal Shahani Engineering College's journey through innovation and excellence in engineering education culminates in a vision of producing well-rounded professionals equipped to lead in the dynamic world of AI and ML. By fostering a flexible academic environment, promoting hands-on experience, and nurturing collaborations with industry leaders, the college not only bridges the academic- industry gap but also nurtures future problem solvers and solution builders. With a strong commitment to ethical values, sustainability, and cutting-edge technology, the institution prepares graduates to make a meaningful impact in the ever-evolving landscape of AI, contributing to a better, more equitable world. Moreover, recognizing the importance of cloud services and the need for access to cutting-edge tools and equipment in AI and ML, the college extends financial support to students, ensuring they can harness these essential resources. One distinguishing aspect of the college's approach is its appreciation for students who exhibit not only intellectual prowess but also emotional integrity. It places a premium on mathematical proficiency, recognizing that a strong foundation in this discipline is fundamental to success in AI and ML. Furthermore, it values students with a natural aptitude for algorithmic problem-solving and demonstrate competencies in This forward-looking initiative, initiated three years ago, aims to produce accredited and esteemed alumni by 2025. Moreover, the institution actively monitors emerging literature in the AI and related technology domains, facilitating the adaptation of cutting-edge practices that can revolutionize business processes and governance. Thadomal Shahani Engineering College remains dedicated to equipping its graduates with nascent and transformative technologies, fostering behavioural change, and championing the cause of creating a carbon-neutral and equitable society www.theknowledgereview.in 23

26. Machine Machine L earning How is Revolutionizing Industries T he development of methods and models that enable computers to learn from data is the focus of the machine learning subfield of artificial intelligence. Through it, computers can identify patterns, forecast outcomes, and work more effectively without explicit programming. Data analysis, speech and image recognition, recommendation systems, self-driving cars, and other applications require machine learning. intelligence (AI) during the past few years, the world has seen an astonishing transformation in a wide range of industries. The artificial intelligence (AI) and machine learning have had a revolutionary impact on industries as diverse as healthcare, finance, manufacturing, and transportation. In this article, we'll examine how these cutting-edge technologies are transforming the landscape of numerous industries and opening a world of opportunities. Exploring the Fundamentals of Machine Learning and AI Let's define machine learning and artificial intelligence (AI) before we examine the effects of these technologies. It is possible for computers to analyse information, acquire knowledge from it, and make decisions based on that learning without being explicitly programmed; this is known as machine learning. Large volumes of data may be fed into these algorithms to enable them to uncover insights, make wise decisions, and continuously improve their understanding, making them an effective tool for automation and data- driven decision-making across a variety of industries. Thanks to the amazing developments in machine learning and artificial October 2023 24

27. Unleashing the Power of AI www.theknowledgereview.in 25

28. Machine learning develop strategies that get better over time. Quality control is also beneficial as AI systems can detect defects in products with remarkable accuracy, ensuring the best for the consumers. comprehend spoken language and provide responses. It is used by chatbots to converse with users, whether it is to answer questions from customers or to provide information. Contrarily, AI is a more general idea. It includes the creation of machines that can carry out tasks like problem- solving, interpreting natural language, and picture recognition that traditionally call for human intelligence. Paving the Way for Autonomous Vehicles With the introduction of self-driving cars, the automobile sector is on the verge of a dramatic upheaval. The ability of autonomous vehicles to navigate and make judgements in real time on the road is fundamentally based on machine learning and AI. By lowering traffic congestion and fuel consumption, this technology has the potential to not only make transportation safer but also more effective. Challenges and Ethical Considerations Though AI and machine learning has huge potential, there are still issues to be resolved. The possibility of bias in AI algorithms is a major concern, along with data privacy and security. It is essential to make sure that these technologies are used properly and ethically as our reliance on them grows. Reengineering Diagnosis and Treatment Healthcare has seen one of the most significant changes as a result of AI and machine learning. These technologies can assist in disease diagnosis more correctly and swiftly than ever before thanks to access to enormous volumes of medical data. Medical imaging data from X-rays and MRIs can be analysed by machine learning algorithms to spot possible problems and aid doctors in making better choices. Virtual assistants and chatbots powered by AI are also improving patient care and giving speedy answers to medical questions. Prospects for AI and Machine Learning Even more promise exists for machine learning and AI in the future. More complex applications in fields like natural language understanding, robotics, and healthcare are likely as deep learning, neural networks, and reinforcement learning continue to progress. Additionally, AI is advancing the capabilities of robots in the creative industries, such as music and art. Personalizing Customer Experiences Machine learning and AI enable personalized shopping experiences in the retail industry. Recommendation engines, like those used by Netflix and Amazon, examine consumer preferences and behaviour to make recommendations for products or entertainment that are catered to specific desires. Sales are increased as a result, in addition to improving customer happiness. Improving Risk Management and Fraud Detection Machine learning is transforming risk management and fraud detection in the banking sector. Large datasets can be analysed by algorithms to find trends that might point to fraud or other possible market hazards. Additionally, AI-powered robo-advisors are gaining popularity for managing investments and providing individualized financial advice to individual investors. Conclusion AI and machine learning are fundamentally altering industries and our planet. These innovations are boosting output, personalising user experiences, and resolving difficult issues that were previously intractable. To create a future in which technology truly benefits all of mankind, it is critical that we embrace the opportunities that AI and machine learning provide while also addressing the concerns. The potential is endless, and as we keep innovating, we open up a universe of opportunities that were previously only possible in science fiction. Customizing Learning Experiences In education, AI is personalizing learning experiences for students. Adaptive learning platforms use machine learning to adjust the curriculum and pace based on a student's progress and needs. This ensures that every student gets a customized education, making learning more effective and engaging. Optimizing Processes and Quality Control Manufacturing processes is a walk in the park through AI and machine learning. These technologies are used for predictive maintenance, which means machines can signal when they require maintenance before a breakdown occurs, reducing downtime. Natural Language Processing A major change in how we interact with technology has been brought about by Natural Language Processing (NLP), a branch of artificial intelligence. NLP is used by virtual assistants like Siri and Alexa to October 2023 26

30. The University Ensuring a Comprehensive Educa?onal Pathway for Aspiring Engineers NorthCap A rtificial Intelligence and Machine Learning (AI&ML) are at the forefront of technological innovation. Rapid advancements in AI algorithms, hardware, and software tools have enabled the development of increasingly sophisticated applications. To keep up with these advancements, educational programs need to evolve to teach the latest AI and ML techniques and technologies. educational pathway for aspiring engineers. founder Vice Chancellor of Delhi’s first women’s technical University, Indira Gandhi Delhi Technical University for Women (Govt. of Delhi). The Department of Computer Science and Engineering at NorthCap University provides B.Tech CSE with a specialization in Artificial Intelligence and Machine Learning. Students develop all core computer science competencies, and alongside that, the Artificial Intelligence and Machine Learning (AI&ML) specialization provides aspiring engineers an opportunity to study a specialized range of courses designed to explore cutting-edge advancements in the broad domains of Artificial Intelligence and Machine Learning. A strong proponent of STEM education among girls, Prof. Nupur spent several years holding key leadership positions as an academic leader, researcher, and institution builder. She has served as a Scientist at CSIO Chandigarh (a CSIR lab), Dean Engg & Technology, Dean of the School of IT at GGS Indraprastha University, and Principal Indira Gandhi Institute of Technology, Govt. of Delhi. Prof. Nupur Prakash possesses work experience of around 37 years in teaching, research, and administration. She graduated from IIT Roorkee (erstwhile University of Roorkee) with a degree in B.E. (Electronics & Communication Engineering) and M.E. (Computer Science & Technology) from IIT Roorkee. She was awarded with the Chancellor’s Medal for being the best student of the outgoing batch. She holds a Ph.D. degree in Artificial Intelligence from Punjab University, Chandigarh. Prof. Rita Chhikara is currently working as the Head and Professor of Keeping this in mind, The NorthCap University's educational programs have a specialized focus on Artificial Intelligence and Machine Learning (AI&ML). Creating Solutions with Technological Education The four-year full-time program presents exposure to hands-on technologies to create applications and solutions for the world. The NorthCap University, located in Gurugram, boasts a dynamic Department of Computer Science and Engineering (CSE) that offers an undergraduate program, B.Tech in Computer Science and Engineering. This specialized four-year program equips students with fundamental computer science skills while immersing them in cutting-edge advancements in AI and ML. In addition to the undergraduate program, the department offers M.Tech and Ph.D. programs in the domains of AI and ML, ensuring a comprehensive Apart from this, the department also offers M.Tech and Ph.D. programs in the domains of Artificial Intelligence and Machine Learning. Prof. Nupur Prakash has been serving the NorthCap University Gurugram as Vice Chancellor since July 2021, after completing her term as October 2023 28

31. “ the Department of CSE. A target- driven, dedicated professional with more than 22 years of experience in teaching, administration, and research. She holds a B.E Degree from Pune University, M.Tech from Punjab Technical University, and Ph.D. Degree from The NorthCap University in the area of Machine Learning and Information Security. program is designed in such a manner that all the specialization courses have a mini-project mapped with them to provide hands-on exposure. These projects bridge the gap between theory and real-world application. For the 3rd year students, the university provides a semester-long industry-mentored project program wherein student groups working on projects are guided by industry experts and have fortnightly meetings with industry experts. We have strong ?es with industry, and industry profession- als o?en visit the campus and interact with faculty and students through which we gain valuable insights related to the latest industry trends in AI and ML. “ She is an EICT and IIT Roorkee Certified Data Science Professional. She has completed two DST-sponsored projects in the area of Steganalysis and Dementia. Her dedication and commitment have contributed to the successful implementation of Specializations in emerging areas in the Department. Through these projects, students get the opportunity to work on real-world scenarios, tackle complex problems, and gain hands-on experience. Working closely with experienced mentors from the industry exposes the students to the latest trends, best practices, and innovative techniques. The university has MOUs with several Providing Hands-On Exposure The framework of the B.Tech CSE www.theknowledgereview.in 29

32. classroom learnings in simulations of real-life technology projects from the industry. Artificial Intelligence no longer lives in the realm of fiction movies. Rather, it has slowly crept its way into the lives of common people and is transforming the world. Multiple breakthrough AI technologies have been developed for image identification, speech recognition, text-to-speech, and chatbot engines and have made significant contributions to a wide range of domains. Incorporating Innovative Ways of Learning The faculty and students at The NorthCap University are also undertaking several different projects related to AIML. A few of them include- Robust and Accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using deep learning, Universal Steganalysis using Machine Learning, multimodal sentiment analysis and affect analysis using social media, AI-powered Legal Documentation Assistant using Transformers and Large Language Models, Artificial Intelligence based virtual reality therapy system, Smart Aquaculture Analyser using Reinforcement Learning, Android Malware Analysis using Machine Learning,System for automated skin care using Deep Transfer Learning and IoT, etc. Few of the projects are sponsored by Government agencies. Prof. Nupur Prakash Vice Chancellor Furthermore, the university also organizes several guest lectures, competitions, and hackathons related to the fields of Artificial Intelligence and Machine Learning to ensure experiential learning. In Feb’2023, the university organized an International Idea Startup Competition in which students from the university competed and participated with international renowned organizations like the National Technical Research Organisation (NTRO), Grant Thorton, etc. campus to deliver lectures and interact with and guide the students. Apart from this, the students gain practical exposure through summer internships at the end of the fourth and sixth semesters. These internships help students gain new skills and deepen their knowledge by applying their Ensuring Practical Exposure Domain experts from these organizations regularly visit the October 2023 30

33. India's Leading AI & Machine Learning Institutes, 2023 student teams that visited the campus, such as those from Ecuador, Indonesia, etc. Prof. Rita Chhikara Head, Dept. of CSE Enhancing the Employability The university has a centre of Excellence for Data Science and AI facilitated with ultra-modern iMac systems appropriate for students and faculty undertaking research in emerging areas like Artificial Intelligence, Deep Learning, Game development, etc. This centre also offers value-added programs & training for enhancing the employability of students as per the latest requirements of the industry in the domains of Data Science and Artificial Intelligence. It aims to provide an ecosystem for innovation and entrepreneurship to thrive. The university also has a dedicated GPU-based lab for deep learning applications established as the Centre of Excellence with Honeywell. Furthermore, the High-Performance Computing Lab has also been established with one teraflop computing power. immensely to the emerging area of AI and ML. lectures, make it possible for the faculty and students to stay abreast with the latest technologies. In addition, the university often seeks valuable feedback on the relevance of the curriculum from its alumni who are now working in the industry in the domains of artificial intelligence and machine learning. There are specialized research groups under AIML catering to the domains of Natural Language Processing, Computer Visions, and Robotics. These groups comprise a few faculty members with expertise in that domain, Ph.D. scholars/Masters students, and some undergraduate students having AIML as their specialization. Gaining Exposure of the Latest Developments The university has strong ties with industry, and industry professionals often visit the campus and interact with faculty and students through which the university gains valuable insights related to the latest industry trends in AI and ML. The curriculum is also vetted from time to time by domain experts from industry and academia to ensure it is in sync with the latest industry trends. Faculty members and students also undertake specialized research in the field of AIML and regularly attend conferences and seminars to present their work as well as gain exposure to the latest developments. To help students launch their careers and achieve their professional goals, the university has launched the SCALE framework - Soft Skills  Communication  and Language Enhancement (SCALE) for all the students to provide invaluable support in their placement endeavours, foster personal growth, and help them achieve tremendous success in their professional journey. The university has alumni placed with Amazon, Google, eBay, Danalitics, Fidelity, Optum, etc., working in the area of Artificial Intelligence and Machine Learning. A few of its alumni are doing their masters in the area of AI and ML from reputed universities like Stanford, Carnegie Mellon University, IIT, NYU, etc. They are also placed in Government organizations like DRDO, NBRC, NTRO, etc., and contributing Online resources, including academic papers, online courses, and video www.theknowledgereview.in 31